Historical: Implicit price indexes, gross domestic product (GDP) at factor cost, by sector, based on the 1968 System of National Accounts international standards. First quarter of 1961 to second quarter of 1997.

The use of large-dimensional factor models in forecasting has received much attention in the literature with the consensus being that improvements on forecasts can be achieved when comparing with standard models. However, recent contributions in the literature have demonstrated that care needs to be taken when choosing which variables to include in the model. A number of different approaches to determining these variables have been put forward. These are, however, often based on ad hoc procedures or abandon the underlying theoretical factor model. In this article, we will take a different approach to the problem by using the least absolute shrinkage and selection operator (LASSO) as a variable selection method to choose between the possible variables and thus obtain sparse loadings from which factors or diffusion indexes can be formed. This allows us to build a more parsimonious factor model that is better suited for forecasting compared to the traditional principal components (PC) approach. We provide an asymptotic analysis of the estimator and illustrate its merits empirically in a forecasting experiment based on U.S. macroeconomic data. Overall we find that compared to PC we obtain improvements in forecasting accuracy and thus find it to be an important alternative to PC. Supplementary materials for this article are available online.

Fit indices for the mixture analyses based on the 4-factor CAA model.

Index Time Series for iShares Trust - iShares MSCI USA Value Factor ETF. The frequency of the observation is daily. Moving average series are also typically included. The fund generally will invest at least 80% of its assets in the component securities of the underlying index and may invest up to 20% of its assets in certain futures, options and swap contracts, cash and cash equivalents. The index is based on a traditional market capitalization-weighted parent index, the MSCI USA Index (the parent index). The parent index includes U.S. large- and mid- capitalization stocks.

Index Construction Platform Market Outlook

According to our latest research, the global Index Construction Platform market size reached USD 1.42 billion in 2024, with a robust year-on-year growth trajectory. The market is expected to expand at a CAGR of 12.1% from 2025 to 2033, reaching a projected value of USD 3.98 billion by 2033. This growth is primarily driven by the increasing demand for sophisticated index solutions amid the proliferation of passive investing and the surge in customized investment products across asset management and financial services sectors.

A key growth factor for the Index Construction Platform market is the accelerated adoption of advanced analytics and automation within the financial sector. As institutional investors and asset managers seek to optimize portfolio performance and reduce operational inefficiencies, the need for platforms that can support the rapid construction, backtesting, and deployment of indices has intensified. The integration of artificial intelligence and machine learning into index construction processes enables the creation of more dynamic and responsive indices, catering to the evolving strategies of modern portfolio managers. Furthermore, regulatory developments demanding greater transparency and compliance in index methodologies are prompting financial institutions to invest in robust, auditable, and scalable index construction solutions.

Another significant driver is the surge in demand for customized and thematic indices, which is reshaping the landscape of index investing. Traditional market-cap-weighted indices are increasingly being supplemented or replaced by bespoke indices tailored to specific investment themes, ESG criteria, or factor exposures. Asset management firms are leveraging index construction platforms to create differentiated products that address client-specific requirements, fueling the growth of the market. The rise of ETFs and other index-linked investment vehicles has further amplified the need for agile, scalable platforms capable of handling complex multi-asset and cross-regional index construction, enhancing the overall value proposition for both institutional and retail investors.

The digital transformation of the financial services industry is also playing a pivotal role in market expansion. Cloud-based index construction platforms are gaining traction due to their scalability, cost-effectiveness, and ability to support real-time collaboration across geographically dispersed teams. These platforms facilitate seamless integration with existing portfolio management and trading systems, enabling end-users to streamline operations and accelerate time-to-market for new index products. Additionally, the increasing penetration of fintech innovation and the emergence of new entrants offering disruptive index solutions are intensifying competition and driving continuous technological advancement within the market.

Regionally, North America continues to dominate the Index Construction Platform market, accounting for the largest share in 2024, supported by the presence of major financial institutions, asset management firms, and technology providers. Europe follows closely, with strong growth fueled by regulatory reforms such as MiFID II and an increasing focus on ESG and sustainable investing. The Asia Pacific region is witnessing the fastest growth, driven by the rapid development of capital markets, rising adoption of passive investment strategies, and the expansion of digital financial infrastructure. Latin America and the Middle East & Africa are also showing promising potential, albeit from a lower base, as financial markets mature and local players embrace advanced index construction technologies.

Component Analysis

The Component segment of the Index Construction Platform market is bifurcated into Software and Services. The software component forms the backbone of index construction, offering robust functionalities for data aggregation, rules-based index creation, backtesting, and real-time calculation. With the growing complexity of indices and the increasing demand for customization, software solutions are being enhanced with advanced analytics, AI-driven insights, and intuitive user interfaces. This is enabling asset managers and financial institutions to rapidly develop and iterate new index strategies, ensuring alignment with evolving market

These four files are macro factor libraries for China Shanghai Composite Index, China Shenzhen Composite Index, Dow Jones Composite Index, S&P 500 Index, respectively. These four macro factor libraries are part of data used in the paper "Stock index trend prediction based on TabNet feature selection and Long Short-Term Memory".

Brazil Federal Domestic Sec: %Share By Indexing Factor: INPC data was reported at 0.000 % in Oct 2025. This stayed constant from the previous number of 0.000 % for Sep 2025. Brazil Federal Domestic Sec: %Share By Indexing Factor: INPC data is updated monthly, averaging 0.000 % from Jan 2000 (Median) to Oct 2025, with 310 observations. The data reached an all-time high of 0.010 % in Dec 2001 and a record low of 0.000 % in Oct 2025. Brazil Federal Domestic Sec: %Share By Indexing Factor: INPC data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Global Database’s Brazil – Table BR.FB: Federal Securities Issued: by Indexing Factor Ratio.

In automotive human-vehicle interaction (HVI) design, consumer discourse’s growing influence demands an effective evaluation system integrating subjective and objective factors. This study sets foundational indicators via user interviews, constructs a questionnaire, and conducts correlation analysis using SPSS and factor analysis. Six secondary factors are summarized, with their relationships to foundational ones delineated, establishing an evaluation framework that determines factor weights. A confirmatory questionnaire for specific vehicle brand owners validates findings: using a five-point Likert scale yields a ∼0.9% error rate, while a percentage scale reduces it to 0.5%. For general groups, the percentage scale stabilizes error at ∼2.5%. This system aids designers in ranking interaction schemes effectively.

Brazil Federal Domestic Sec: %Share By Indexing Factor: IGP-M data was reported at 1.070 % in Oct 2025. This records a decrease from the previous number of 1.090 % for Sep 2025. Brazil Federal Domestic Sec: %Share By Indexing Factor: IGP-M data is updated monthly, averaging 4.060 % from Jan 2000 (Median) to Oct 2025, with 310 observations. The data reached an all-time high of 10.130 % in Nov 2004 and a record low of 0.320 % in Jan 2000. Brazil Federal Domestic Sec: %Share By Indexing Factor: IGP-M data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Global Database’s Brazil – Table BR.FB: Federal Securities Issued: by Indexing Factor Ratio.

BackgroundThe Pittsburgh Sleep Quality Index (PSQI) is a widely used self-report questionnaire that measures general sleep quality in general populations. However, its psychometric properties have yet to be thoroughly examined in longevous persons.ObjectivesThis study aimed to explore the reliability, validity and factor structure of the Chinese-language version of the PSQI in community-dwelling centenarians.MethodsA total of 958 centenarians (mean age = 102.8 years; 81.8% females) recruited from 18 regions in Hainan, China, completed the PSQI scale. Cronbach’s alpha coefficient was used to measure the internal consistency. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to explore the validity and factor structure of the PSQI in this sample. Correlations between the global PSQI score and physical function, depression symptoms, self-reported health status and subjective well-being were used to assess divergent validity.ResultsThe Cronbach’s α coefficient of the PSQI was 0.68, and it increased to 0.78 after two components (medication use and daytime dysfunction) were removed. The Spearman correlation coefficients of the PSQI score with each component were statistically significant (P

!!PLEASE NOTE!! When downloading the data, please select "File Geodatabase" to preserve long field names. Shapefile will truncate field names to 10 characters.Version: CurrentThe Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents. Click here for a User Guide.See the layer in action in the Racial and Social Equity ViewerClick here for an 11x17 printable pdf version of the map.The Composite Index includes sub-indices of: Race, English Language Learners, and Origins Index ranks census tracts by an index of three measures weighted as follows: Persons of color (weight: 1.0) English language learner (weight: 0.5) Foreign born (weight: 0.5)Socioeconomic Disadvantage Index ranks census tracts by an index of two equally weighted measures:Income below 200% of poverty level Educational attainment less than a bachelor’s degreeHealth Disadvantage Index ranks census tracts by an index of seven equally weighted measures:No leisure-time physical activityDiagnosed diabetes ObesityMental health not good AsthmaLow life expectancy at birthDisabilityThe index does not reflect population densities, nor does it show variation within census tracts which can be important considerations at a local level.Sources are as indicated below.Produced by City of Seattle Office of Planning & Community Development. For more information on the indices, including guidance for use, contact Diana Canzoneri (diana.canzoneri@seattle.gov).Sources: 2017-2021 Five-Year American Community Survey Estimates, U.S. Census Bureau; 2020 Decennial Census, U.S. Census Bureau; estimates from the Centers for Disease Control’ Behavioral Risk Factor Surveillance System (BRFSS) published in the “The 500 Cities Project,”; Washington State Department of Health’s Washington Tracking Network (WTN);, and estimates from the Public Health – Seattle & King County (based on the Community Health Assessment Tool).Language is for population age 5 and older. Educational attainment is for the population age 25 and over.Life expectancy is life expectancy at birth.Other health measures based on percentages of the adult population.

Historical: Implicit price indexes, gross domestic product (GDP) at factor cost, by sector, based on the 1968 System of National Accounts international standards. First quarter of 1961 to second quarter of 1997.

This dataset contains the 2024 Anesthesia conversion factors.

Cropland Index The Cropland Index evaluates lands used to produce crops based on the following input datasets: Revised Storie Index, California Important Farmland data, Electrical Conductivity (EC), and Sodium Adsorption Ratio (SAR). Together, these input layers were used in a suitability model to generate this raster. High values are associated with better CroplandsCalifornia Important Farmland data – statistical data used for analyzing impacts on California’s agricultural resources from the Farmland Mapping and Monitoring Program. Agricultural land is rated according to soil quality and irrigation status. The maps are updated every two years (on even numbered years) with the use of a computer mapping system, aerial imagery, public review, and field reconnaissance. Cropland Index Mask - This is a constructed data set used to define the model domain. Its footprint is defined by combining the extent of the California Important Farmland data (2018) classifications listed above and the area defined by California Statewide Crop Mapping for the state of California.Prime Farmland – farmland with the best combination of physical and chemical features able to sustain long term agricultural production. This land has the soil quality, growing season, and moisture supply needed to produce sustained high yields. Land must have been used for irrigated agricultural production at some time during the four years prior to the mapping date.Farmland of Statewide Importance – farmland similar to Prime Farmland but with minor shortcomings, such as greater slopes or less ability to store soil moisture. Land must have been used for irrigated agricultural production at some time during the four years prior to the mapping date. Unique Farmland – farmland of lesser quality soils used for the production of the state’s leading agricultural crops. This land is usually irrigated but may include Non irrigated orchards or vineyards as found in some climatic zones in California. Land must have been cropped at some time during the four years prior to the mapping date. Gridded Soil Survey Geographic Database (gSSURGO) – a database containing information about soil as collected by the National Cooperative Soil Survey over the course of a century. The information can be displayed in tables or as maps and is available for most areas in the United States and the Territories, Commonwealths, and Island Nations served by the USDA-NRCS. The information was gathered by walking over the land and observing the soil. Many soil samples were analyzed in laboratories. California Revised Storie Index - is a soil rating based on soil properties that govern a soil’s potential for cultivated agriculture in California. The Revised Storie Index assesses the productivity of a soil from the following four characteristics: Factor A, degree of soil profile development; factor B, texture of the surface layer; factor C, slope; and factor X, manageable features, including drainage, microrelief, fertility, acidity, erosion, and salt content. A score ranging from 0 to 100 percent is determined for each factor, and the scores are then multiplied together to derive an index rating.Electrical Conductivity - is the electrolytic conductivity of an extract from saturated soil paste, expressed as Deci siemens per meter at 25 degrees C. Electrical conductivity is a measure of the concentration of water-soluble salts in soils. It is used to indicate saline soils. High concentrations of neutral salts, such as sodium chloride and sodium sulfate, may interfere with the adsorption of water by plants because the osmotic pressure in the soil solution is nearly as high as or higher than that in the plant cells. Sodium Adsorption Ratio - is a measure of the amount of sodium (Na) relative to calcium (Ca) and magnesium (Mg) in the water extract from saturated soil paste. It is the ratio of the Na concentration divided by the square root of one-half of the Ca + Mg concentration. Soils that have SAR values of 13 or more may be characterized by an increased dispersion of organic matter and clay particles, reduced saturated hydraulic conductivity (Ksat) and aeration, and a general degradation of soil structure.

Brazil Federal Domestic Sec: %Share By Indexing Factor: Preset data was reported at 22.200 % in Oct 2025. This records a decrease from the previous number of 22.810 % for Sep 2025. Brazil Federal Domestic Sec: %Share By Indexing Factor: Preset data is updated monthly, averaging 40.790 % from Jan 2000 (Median) to Oct 2025, with 310 observations. The data reached an all-time high of 44.050 % in Jun 2015 and a record low of 1.910 % in Apr 2003. Brazil Federal Domestic Sec: %Share By Indexing Factor: Preset data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Global Database’s Brazil – Table BR.FB: Federal Securities Issued: by Indexing Factor Ratio.

Brazil Federal Domestic Sec: %Share By Indexing Factor: Reference Tax data was reported at 0.040 % in Oct 2025. This stayed constant from the previous number of 0.040 % for Sep 2025. Brazil Federal Domestic Sec: %Share By Indexing Factor: Reference Tax data is updated monthly, averaging 0.610 % from Jan 2000 (Median) to Oct 2025, with 310 observations. The data reached an all-time high of 5.560 % in Apr 2000 and a record low of 0.040 % in Oct 2025. Brazil Federal Domestic Sec: %Share By Indexing Factor: Reference Tax data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Global Database’s Brazil – Table BR.FB: Federal Securities Issued: by Indexing Factor Ratio.

Adolescent health quality of care index factor analysis resultsb'*'.

Out-of-sample performances of portfolios with T = 9 m.

Brazil Federal Domestic Sec: %Share By Indexing Factor: Exchange Rate data was reported at 0.050 % in Oct 2025. This stayed constant from the previous number of 0.050 % for Sep 2025. Brazil Federal Domestic Sec: %Share By Indexing Factor: Exchange Rate data is updated monthly, averaging 0.600 % from Jan 2000 (Median) to Oct 2025, with 310 observations. The data reached an all-time high of 32.850 % in Oct 2001 and a record low of 0.050 % in Oct 2025. Brazil Federal Domestic Sec: %Share By Indexing Factor: Exchange Rate data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Global Database’s Brazil – Table BR.FB: Federal Securities Issued: by Indexing Factor Ratio.

Scoring of risk factors in the lifestyle risk index based on the 45 and Up Study.